The decline of the Bitcoin (BTC) price to $ 33,000 has seriously dragged altcoins to the bottom. While Ethereum (ETH) is being pulled below $ 3,000 for the first time in a long time, a leading investment company and fund stated that they are hopeful about two rival altcoins.

Pantera Capital is seen as one of the largest investment funds in the crypto money industry. For this reason, the statements made by Pantera Capital actually come from within the industry itself.


In its recent statement, the fund gave an important clue for the two altcoins. Paul Veradittakit, one of the Pantera Capital partners, said in a statement on the subject that Solana (SOL) and Near (NEAR), the rivals of Ethereum (ETH), will achieve a great rise in 2022.

The famous name stated that rival smart contract platforms continue to steal from the market value of Ethereum for the time being. Currently, 63% of the total value of locked tokens in the DeFi world belongs to Ethereum. This data was at the level of 97% at the beginning of 2021.

Solana (SOL)

Veradittakit stated that Solana is currently trying to be a faster and cheaper alternative to Ethereum. It is stated that SOL's position will be much better in 2022, especially with the growth in 2021. Solana's total lock-in value of $15 billion is also a big sign, according to the expert.

near protocol

Near, on the other hand, can come to the fore with the Rainbow Bridge, which was published in April according to the famous name. This acts as a bridge between different blockchain networks. The famous name expects both projects to break records in 2022.

The near price is $9.94 at the time of writing and the 24-hour trading volume is $780.558,506. Price is down -15.7% in the last 24 hours. There is a circulating supply of 620 Million NEAR coins, with a total supply of 1 Billion coins. Binance is currently the most active market where this is traded. NEAR is a sharded, developer-friendly, proof-of-stake public blockchain, built by a world-class team that has built some of the world's only sharded databases at scale.